Top Tech Jobs & Startup Jobs

Leads architecture, hands-on software development, deployment, and production issue resolution for strategic customer projects. Drives AI innovation, platform resiliency, security, observability, performance, and operational improvements. Partners with executives, engineering, product, and customer success teams to prioritize strategic programs, improve customer value, share technical best practices, and remove production blockers.

Own the strategy, development, and continuous improvement of Excel Copilot. Identify customer needs, evaluate AI and agentic capabilities, define product requirements and success metrics, run experiments, analyze telemetry and feedback, prioritize enhancements, and make product and technical tradeoffs. Partner with engineering, applied science, design, and stakeholders to deliver intelligent Excel experiences at scale.

Lead an independent research agenda in artificial intelligence, machine learning, and statistics; conduct rigorous theoretical and applied research; collaborate across disciplines; contribute to large-scale research efforts; develop innovative ideas; publish influential results; and explore applications that inform products and services. Preferred work includes large-scale transformer and LLM experiments, machine learning pipelines, and data collection and curation systems.

Lead architecture, development, debugging, validation, and deployment of firmware libraries for Microsoft AI accelerators and cloud silicon. Responsibilities include SoC and IP firmware design, hardware/software co-design, silicon bring-up, root-cause analysis, verification planning, performance optimization, and cross-team technical leadership. The role collaborates across hardware, software, security, validation, and systems teams, drives architecture across multiple silicon generations, establishes engineering practices, and mentors engineers.

Design, develop, and maintain high-scale, low-latency services for Microsoft’s AI monetization platform. Write maintainable, performant, testable code; participate in architecture and design discussions; collaborate across partner teams; and drive effective project delivery. The role supports usage-based billing, licensing, telemetry, and AI FinOps services, with an emphasis on secure, reliable, scalable solutions and strong technical collaboration.

Build and maintain scalable backend messaging services supporting Teams and Copilot. Responsibilities include coding, architecture, testing, debugging, deployment automation, security hardening, telemetry, reliability engineering, incident response, and on-call support. The engineer collaborates with product, security, privacy, data science, and partner teams to deliver globally distributed services with strong performance, resiliency, compliance, and privacy protections.

Leads Design for Manufacturing and Design for Excellence strategies across hardware product development and New Product Introduction programs. Influences product architecture to improve manufacturability, quality, cost, automation, repairability, scalability, and production readiness. Applies mechanical and electro-mechanical engineering, statistical analysis, DOE, FMEA, Six Sigma, tolerance analysis, and process capability methods. Partners with design, quality, reliability, supply chain, suppliers, and global manufacturing teams while mentoring engineers and driving risk reduction through production ramp.

Leads engineering teams developing and operating large-scale Azure observability and telemetry ingestion services. Sets multi-year technical direction, oversees architecture and reliability, improves security and compliance, drives cross-organizational initiatives, and manages production health for high-volume cloud services. The role also focuses on coaching engineering leaders and senior engineers, strengthening execution, reducing operational toil, and building a durable live-site culture.

Provides technical leadership for Azure cloud-scale distributed data platforms processing network telemetry and operational data. Defines architecture and long-term technical strategy, leads streaming and batch system design, resolves complex scalability and reliability challenges, oversees production readiness and continuous improvement, and influences cross-team technical investments. Partners across Azure Networking, conducts design reviews, establishes reusable engineering patterns, improves observability and quality, and mentors engineers and technical leaders.

Leads integrated partner marketing and communications programs across Microsoft's global channel ecosystem. Develops partner narratives, messaging frameworks, content journeys, campaigns, and measurement strategies to drive awareness, adoption, retention, and revenue growth. Coordinates cross-functional teams, agencies, vendors, budgets, and high-volume communications while supporting change management, PR, compliance, and partner advocacy. Uses segmentation, campaign performance data, and partner insights to optimize engagement and business outcomes.